Self learning solution for object detection in images of small sorting goods

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==================HELLO========================== I have a great interest in your project as a computer vision expert. As you can see my profile, I have specialized in detecting and tracking goods using opencv. A few days ago, I have completed Denmark's task similar to your project. I feel confident that will complete it at a high level in time. Let us contact to discuss your project in a more detail. Thank u.

Please clarify which one metric will be used for sorting. As I understand you need color sort and then some mass sort. What did that mean? You mean weight of good or something else? Please show some sample input (10-20 items) and sorted out. I plan to use .NET (C#) to develop this project because of my Python experience is not so good.

Hello, I'm a data scientist specialized in deep learning and computer vision, I've been doing this for the last 3 years and I have a great deal of experience in it, I work mainly in python using tensorflow or caffe and I've already implemented several object detection algorithms, detecting 100k different items is a quite a challenge but it's not impossible provided there a big enough dataset ( the current biggest neural network can detect 9000 different items, it's name is YOLO9000 ). contact me if you need more info. thank you !

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Machine learning is the solution. I am expert in ML and python. Can have it ready by October. Do you have the training data?